Download Applied Data Science with Python and Jupyter by Alex Galea PDF eBook free. The “Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your dataApplied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data” is ideal for professionals with a variety of job descriptions across a large range of industries, given the rising popularity and accessibility of data science.

Applied Data Science with Python and Jupyter by Alex Galea PDF Book Review

“Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your dataApplied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data” is a great book about Applied Data Science with Python Programming. Alex Galea is the author of this book. In this book, you will learn every aspect of the standard data workflow process, including collecting, cleaning, investigating, visualizing, and modelling data. You will start with the basics of Jupyter, which will be the backbone of the book. After familiarizing ourselves with its standard features, you will look at an example of it in practice with our first analysis.

In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. You will learn, Get up and running with the Jupyter ecosystem, Identify potential areas of investigation and perform exploratory data analysis, Plan a machine learning classification strategy and train classification models, Use validation curves and dimensionality reduction to tune and enhance your models, Scrape tabular data from web pages and transform it into Pandas DataFrames. It is easy to follow along and try code from the book in your own notebook.

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